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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2018 - 10

 HIGHLY CITED PAPER 

Indoor Localization using Voronoi Tessellation

ARIF, M. See more information about ARIF, M. on SCOPUS See more information about ARIF, M. on IEEExplore See more information about ARIF, M. on Web of Science, WYNE, S. See more information about  WYNE, S. on SCOPUS See more information about  WYNE, S. on SCOPUS See more information about WYNE, S. on Web of Science, JUNAID NAWAZ, A. See more information about JUNAID NAWAZ, A. on SCOPUS See more information about JUNAID NAWAZ, A. on SCOPUS See more information about JUNAID NAWAZ, A. on Web of Science
 
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Download PDF pdficon (1,387 KB) | Citation | Downloads: 1,057 | Views: 2,340

Author keywords
indoor environments, interpolation, radio propagation, simultaneous localization and mapping, wireless LAN

References keywords
systems(10), location(9), indoor(9), localization(7), positioning(6), services(5), voronoi(4), information(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 85 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04010
Web of Science Accession Number: 000451843400010
SCOPUS ID: 85058775391

Abstract
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Recently the use of received signal strength values from a wireless local area network has received significant research interest for indoor localization. This work investigates a Voronoi-based interpolation method to improve indoor localization performance. The region of interest is spanned by reference measurement locations, termed as anchors. The proposed method is shown to outperform well-known localization techniques such as the k-Nearest Neighbor (k-NN) and the Inverse Distance Weighting (IDW) methods in terms of accuracy and precision. Our results show that for a 20 m x 20 m room the proposed scheme can achieve a location accuracy of 5.7 m with at most 5 anchors, whereas the IDW and k-NN techniques attain location accuracies of only 6.1 m and 6.5 m, respectively, under the same conditions. These performance gains are achieved while maintaining the same number of anchors in the system calibration phase for all the considered techniques.


References | Cited By  «-- Click to see who has cited this paper

[1] D. Li, Y. Yan, B. Zhang, C. Li and P. Xu, "Measurement-based AP deployment mechanism for fingerprint-based indoor location systems," KSII Transactions on Internet and Information Systems, vol. 10, no. 4, pp. 1611-1629, 2016.
[CrossRef] [Web of Science Times Cited 5]


[2] R. Zekavat and R. M. Buehrer, "Handbook of position Location: Theory, Practice and Advances", IEEE Series on Digital and Mobile Communication, Wiley-IEEE Press, 2011.

[3] A. Yassin, Y. Nasser, M. Awad, A. Al-Dubai, R. Liu, C. Yuen, R. Raulefs and E. Aboutanios, "Recent advances in indoor localization: A survey on theoretical approaches and applications," IEEE Communications Surveys & Tutorials. Vol. 19, no. 2, pp. 1327-1346, 2016.
[CrossRef] [Web of Science Times Cited 558]


[4] W. Zhao, S. Han, W. Meng, and D. Zou, "A testbed of performance evaluation for fingerprint based WLAN positioning system," KSII transaction on internet and information systems, vol. 10, no. 6, pp. 2583-2605, 2016.
[CrossRef] [Web of Science Times Cited 6]


[5] D. Han, S. Jung, M. Lee, and G. Yoon, "Building a practical Wi-Fi-based indoor navigation system," IEEE Pervasive Computing, vol. 13, no. 2, pp. 72-79, 2014.
[CrossRef]


[6] Y. Mo, Z. Zhang, Y. Lu, and G. Agha, "A novel technique for human traffic based radio map updating in Wi-Fi indoor positioning systems," KSII Transactions on Internet and Information Systems, vol. 9, no. 5, pp. 1881-1903, 2015.
[CrossRef] [Web of Science Times Cited 5]


[7] J. Yang and Y. chen, "Indoor localization using improved RSS-based Lateration methods," in Proc. 28th IEEE conference on Global telecommunications, 2009.
[CrossRef]


[8] C. R. Comsa, J. Luo, A. Haimovich, and S. Schwartz, "Wireless localization using time difference of arrival in narrow-band multipath systems," in Proc. International symposium on signals circuits and systems, Romania, 2007. pp. 1-4.
[CrossRef]


[9] C. D. Flora and M. Hermersdorf, "A practical implementation of indoor location-based services using simple Wi-Fi positioning," Journal of location based services, vol. 2, no. 2, pp. 87-111, 2008.
[CrossRef] [Web of Science Times Cited 11]


[10] P. A. Zandbergen. "Comparison of WiFi positioning on two mobile devices," Journal of Location Based Services, vol. 6, no. 1, pp. 35-50, 2011.
[CrossRef] [Web of Science Times Cited 18]


[11] P. Bahl and V. N. Padmanabhan, "RADAR: an in-building RF-based user location and tracking system," in Proc. 9th Annual Joint Conference of the IEEE Computer and Communications Societies, 2000, pp. 775-784.
[CrossRef]


[12] P. Mirowski, P. Whiting, H. Steck, R. Palaniappan; et al., "Probability kernel regression for Wi-Fi localization," Journal of Location based Services, vol. 6, no. 2, pp. 81-100, 2012.
[CrossRef] [Web of Science Times Cited 36]


[13] B. Kobben, "Wireless Campus LBS, A Test Bed for Wi-Fi positioning and location based services," Cartography and Geographic Information Science, vol. 34, no. 4, pp. 285-292, 2007.
[CrossRef]


[14] V. C. Gungor and M. K. Korkmaz, "Wireless link-quality estimation in smart grid environments," International Journal of Distributed Sensor Networks, vol. 8, no. 2, 2012.
[CrossRef] [Web of Science Times Cited 17]


[15] D. Wu, Y. Xu, and L. Ma, "Research on RSS based Indoor Location Method," in Proc. IEEE Pacific-Asia Conf. on Knowledge Engineering and Software Engineering, Jan. 2010, pp. 205-208.
[CrossRef] [Web of Science Times Cited 11]


[16] N. Hernandez, A. Hussein, D. Cruzado, I. Parra, and J. M. Armingol. "Applying low cost WiFi-based localization to in-campus autonomous vehicles," in Proc. 20th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 1-6.
[CrossRef]


[17] M. R. K. Aziz, L. Yuto and T. Matsumoto, "A New RSS-based Wireless Geolocation Technique Utilizing Joint Voronoi and Factor Graph," International Journal of Simulation: Systems, Science and Technology, 2016.
[CrossRef]


[18] F. Shang, Y. Jiang, A. Xiong, W. Su and L. He. "A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks," Sensors, vol. 16, no. 11, 2016.
[CrossRef] [Web of Science Times Cited 6]


[19] M. Lee and D. Han, "Voronoi Tessellation based interpolation method for Wi-Fi radio map," IEEE Communications Letters, vol. 16, no. 3, pp. 404-407, 2012.
[CrossRef] [Web of Science Times Cited 64]


[20] F. Aurenhammer, "Voronoi diagrams a survey of a fundamental geometric data structure," ACM Computing Surveys, vol. 23, no. 3, pp. 345-450, 1991.
[CrossRef]


[21] S. P. Kuo and Y. C. Tseng, "Discriminant minimization search for large scale RF based localization systems," IEEE Transaction on Mobile Computing, vol. 10, no. 2, pp. 291-304, 2011.
[CrossRef] [Web of Science Times Cited 61]


[22] A. Okabe, B. Boots, K. Sugihara, and S. N. Chiu, "Spatial Tessellations: concepts and applications of Voronoi diagram," 2nd. West Sussex: John Wiley & Sons, 2000.

[23] Z. Xiong, F. Sottile, M. A. Spirito and R. Garello, "Hybrid Indoor Positioning Approaches Based on WSN and RFID," in Proc. 4th IFIP International Conference on New Technologies, Mobility and Security, 2011, pp. 1-5.
[CrossRef]


[24] Y. Seidel and T. S. Rappaport, "914 MHz path loss prediction model for indoor wireless communication in multi-floored buildings," IEEE Transactions on Antennas and Propagation, vol. 40, no. 2, pp. 201-217, 1992.
[CrossRef] [Web of Science Times Cited 519]




References Weight

Web of Science® Citations for all references: 1,317 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 53 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-10 04:12 in 161 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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